A Comparative Study of Mental Health between the Laid-Off and the Employed Worker in the Similar Industry

Cho, Sung Ae; Jung, Jin Joo; Koo, Jung Wan

Abstract

OBJECTIVES
This study was conducted to examine the mental health status of the laid off by comparing the unemployed with the employed.
METHODS
A survey questionnaire was used to investigate the mental health status of the laidoff in comparison with that of the employed. The study sample consisted of 247 laid-off people formerly employed in A auto factory and 167 employees working in B auto factory.
RESULTS
The proportion exercising regularly was 20.2% for the laid-off and 34.8% for the employed and the proportion having regular meals was 10.9% and 50.6%, respectively. In addition, the frequency and amount of alcohol consumption and smoking of the laid-off were higher than those of the employed. Among the laid-off, 69.4% responded that they spent less time in talking to their spouse, and 65.4% also reported reduced sexual activities with their spouse. Because of unemployment, 41.8% of the laid-off experienced conflicts with their children, and 53.5% also perceived that they were stigmatized and treated badly by their neighbors, friends and relatives. Mean IFR in the laid-off was 22.9, which was much higher than the 15.3 recorded in the employed. The mean PWI-SF was 24.2 for the laid-off and 13.0 for the employed, which indicates the lower psychological health status of the laid-off than that of the employed. Age, annual salary, family relationship, regular exercise, regular diets, possibility to return to work and perception of the future were related to mental health status for the laid-off. Stepwise multiple regression analysis showed that the most important factor influencing mental health status for the laid-off was family relationships.
CONCLUSIONS
According to the above results, the mental health of the laid-off is worse than that of the employed. Based on this study, a follow-up study focusing on the mental health status of the reemployed to the same factory, is needed to understand the direct mental health effect on the laid-off.